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U.S. Bank

AI & Data Analytics Consultant

London, United Kingdom

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hirly's read of this role

Seniority
Mid level
Country
GB
Work mode
On-site / unstated
First seen by hirly
1 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at—all from Day One.

As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we’re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.

We actively uphold transparent and fair hiring practices that support individual opportunity, inclusive culture, and career mobility across all levels of our organisation.

We offer meaningful opportunities for growth, a culture of inclusion, and a strong commitment to transparency and integrity in everything we do.

Job Description

The AI & Data Analytics Consultant serves as the strategic liaison between business leaders and the Data Analytics organization. This role partners with stakeholders across the enterprise to understand business challenges, identify opportunities for data-driven decision making, and design solutions leveraging Artificial Intelligence, predictive analytics, descriptive analytics, and advanced reporting capabilities.

The successful candidate will act as an evangelist for the Data Analytics team, promoting the value of AI and analytics, shaping business demand, and translating complex business problems into practical and scalable analytical solutions. The role combines consulting, stakeholder management, innovation, and analytics expertise to drive measurable business outcomes.

Key Responsibilities:

Strategic Business Consulting

Build trusted relationships with senior leaders and business stakeholders across multiple functions.

Act as the primary point of contact for AI and analytics engagements.

Facilitate workshops and discovery sessions to understand business goals, pain points, and opportunities.

Translate business challenges into actionable analytics and AI use cases.

Develop business cases that demonstrate value, ROI, and expected outcomes.

AI & Analytics Evangelism

Champion the capabilities of the Data Analytics team across the organization.

Educate stakeholders on the potential of AI, machine learning, predictive analytics, descriptive analytics, and data visualization.

Identify opportunities where AI can improve decision-making, customer experiences, operational efficiency, risk management, or revenue growth.

Promote responsible and effective adoption of AI technologies.

Present success stories, use cases, and innovation roadmaps to executive audiences.

Solution Design & Opportunity Assessment

Evaluate and prioritize opportunities for:

Predictive analytics

Forecasting and risk modeling

Customer and behavioral analytics

AI-assisted decision support

Automation and intelligent workflows

Executive reporting and business intelligence

Collaborate with data scientists, analysts, engineers, and product teams to design fit-for-purpose solutions.

Define success metrics, business requirements, and implementation roadmaps.

Stakeholder Engagement & Leadership

Influence senior leaders and drive alignment around analytics initiatives.

Communicate complex analytical concepts in clear, business-friendly language.

Manage a pipeline of AI and analytics opportunities across business units.

Facilitate prioritization of initiatives based on strategic value and feasibility.

Innovation & Market Awareness

Monitor emerging AI technologies, analytics trends, and industry best practices.

Identify innovative approaches that can create competitive advantage.

Recommend new methodologies, tools, and capabilities to enhance the organization's analytical maturity.

Required Qualifications:

Education

Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, Business, or a related discipline.

Master's degree preferred.

Experience

7+ years of experience in analytics consulting, business intelligence, data science, strategy consulting, or related fields.

Experience engaging with senior leadership and executive stakeholders.

Proven track record delivering business value through analytics and technology initiatives.

Experience translating business requirements into analytical or AI solutions.

Technical Knowledge

Strong understanding of

Artificial Intelligence and Generative AI

Machine Learning concepts and applications

Predictive and descriptive analytics

Data visualization and storytelling

Business Intelligence platforms (Power BI, Tableau, etc.)

Data warehousing and modern analytics architectures

Statistical analysis and forecasting techniques

Cloud-based analytics platforms

Critical Skills

Business & Consulting Skills

Executive presence and influencing skills

Strategic thinking

Stakeholder management

Business case development

Facilitation and workshop leadership

Change management

Communication Skills

Outstanding presentation and storytelling abilities

Ability to explain technical concepts to non-technical audiences

Strong written and verbal communication skills

Analytical Skills

Problem-solving mindset

Data-driven decision-making

Ability to connect business outcomes with analytical solutions

Commercial and operational acumen

Success Measures

Success in this role will be measured by:

Growth in AI and analytics adoption across the business

Number and quality of business opportunities identified and delivered

Measurable business value generated from analytics initiatives

Stakeholder satisfaction and engagement

Increased use of predictive and AI-driven decision-making

Development of a strong pipeline of innovative analytics use cases

Improved awareness and understanding of Data Analytics capabilities across leadership teams

Ideal Candidate Profile

The ideal candidate is a hybrid of management consultant, business strategist, data analyst, and AI evangelist. They are equally comfortable presenting to executive leadership, facilitating a workshop with business teams, and working with technical experts to convert ideas into scalable AI and analytics solutions. They possess a passion for innovation and a strong ability to turn data and AI capabilities into tangible business outcomes.

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

Accessibility

We are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.

Total Rewards

U.S. Bank is committed to fair, equitable, and transparent compensation practices in line with local regulatory and legal requirements. Our total rewards approach is designed to attract, retain, and support top talent while ensuring equal pay for work of equal value.

We offer a market-competitive compensation package that includes:

Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.

Performance-based incentives for eligible employees

Original posting on U.S. Bank's site ↗

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